气候变化领域集成服务门户(CCPortal): A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network

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DOI	10.1016/j.envsoft.2017.11.016
	A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network
	Bruce, Louise C.; Frassl, Marieke A.; Arhonditsis, George B.; Gal, Gideon; Hamilton, David P.; Hanson, Paul C.; Hetherington, Amy L.; Melack, John M.; Read, Jordan S.; Rinke, Karsten; Rigosi, Anna; Trolle, Dennis; Winslow, Luke; Adrian, Rita; Ayala, Ana I.; Bocaniov, Serghei A.; Boehrer, Bertram; Boon, Casper; Brookes, Justin D.; Bueche, Thomas; Busch, Brendan D.; Copetti, Diego; Cortes, Alicia; de Eyto, Elvira; Elliott, J. Alex; Gallina, Nicole; Gilboa, Yael; Guyennon, Nicolas; Huang, Lei; Kerimoglu, Onur; Lenters, John D.; MacIntyre, Sally; Makler-Pick, Vardit; McBride, Chris G.; Moreira, Santiago; Oezkundakci, Deniz; Pilotti, Marco; Rueda, Francisco J.; Rusak, James A.; Samal, Nihar R.; Schmid, Martin; Shatwell, Tom; Snorthheim, Craig; Soulignac, Frederic; Valerio, Giulia; van der Linden, Leon; Vetter, Mark; Vincon-Leite, Brigitte; Wang, Junbo; Weber, Michael; Wickramaratne, Chaturangi; Woolway, R. Iestyn; Yao, Huaxia; Hipsey, Matthew R.
通讯作者	Bruce, LC (通讯作者)
发表日期	2018
ISSN	1364-8152
EISSN	1873-6726
起始页码	274
结束页码	291
卷号	102
英文摘要	The modelling community has identified challenges for the integration and assessment of lake models due to the diversity of modelling approaches and lakes. In this study, we develop and assess a one-dimensional lake model and apply it to 32 lakes from a global observatory network. The data set included lakes over broad ranges in latitude, climatic zones, size, residence time, mixing regime and trophic level. Model performance was evaluated using several error assessment metrics, and a sensitivity analysis was conducted for nine parameters that governed the surface heat exchange and mixing efficiency. There was low correlation between input data uncertainty and model performance and predictions of temperature were less sensitive to model parameters than prediction of thermocline depth and Schmidt stability. The study provides guidance to where the general model approach and associated assumptions work, and cases where adjustments to model parameterisations and/or structure are required. (c) 2017 Published by Elsevier Ltd.
关键词	BAYESIAN HIERARCHICAL FRAMEWORK AQUATIC BIOGEOCHEMICAL MODELS CENTRAL-EUROPEAN LAKE SUB-ALPINE LAKE CLIMATE-CHANGE THERMAL STRUCTURE ECOLOGICAL STATE TEMPERATE LAKES REGIME SHIFTS DYRESM-CAEDYM
英文关键词	Lake model; Stratification; GLM; Model assessment; Global observatory data; Network science
语种	英语
WOS研究方向	Computer Science ; Engineering ; Environmental Sciences & Ecology ; Water Resources
WOS类目	Computer Science, Interdisciplinary Applications ; Engineering, Environmental ; Environmental Sciences ; Water Resources
WOS记录号	WOS:000426583300021
来源期刊	ENVIRONMENTAL MODELLING & SOFTWARE
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/259390
推荐引用方式 GB/T 7714	Bruce, Louise C.,Frassl, Marieke A.,Arhonditsis, George B.,et al. A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network[J]. 中国科学院青藏高原研究所,2018,102.
APA	Bruce, Louise C..,Frassl, Marieke A..,Arhonditsis, George B..,Gal, Gideon.,Hamilton, David P..,...&Hipsey, Matthew R..(2018).A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network.ENVIRONMENTAL MODELLING & SOFTWARE,102.
MLA	Bruce, Louise C.,et al."A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network".ENVIRONMENTAL MODELLING & SOFTWARE 102(2018).